The Massachusetts Institute of Technology (MIT) Department of Mechanical Engineering together with the Institute for Data, Systems, and Society (IDSS) seeks candidates for tenure-track faculty positions in Learning for Dynamics and Control, Autonomy, and Intelligent Systems to start July 1, 2020 or on a mutually agreed date thereafter. Appointments will be at the assistant or untenured associate professor level. In special cases, a senior faculty appointment will be considered.
We are looking for candidates with proven excellence in research who have the vision and interest to contribute to interdisciplinary research in autonomy and robotics, with fundamental expertise in learning for dynamics and control theories, nonlinear dynamics and physics-based modeling, uncertainty quantification, high dimensional statistics, science of autonomy, intelligent systems, and/or data-driven science and engineering.
We seek candidates who can go beyond current approaches to machine learning in computer vision and natural language processing and address the explosion of real-time data that is emerging from the physical world. Dealing with challenges in data-enabled control and decision making for physical and embedded systems requires a rapprochement of areas such as machine learning, dynamical systems, decision theory, and model based control with domains such as intelligent autonomous systems, transportation and logistics, power networks, smart cities, manufacturing, healthcare, and smart services.
The Department of Mechanical Engineering and IDSS are committed to fostering interdisciplinary research that can address grand challenges facing our society. We seek candidates who will provide inspiration and leadership in research, contribute proactively to both undergraduate and graduate level teaching in the Mechanical Engineering department and IDSS and add to the diversity of the academic community.
Faculty duties include teaching at the undergraduate and graduate levels, advising students, conducting original scholarly research and developing course materials at the undergraduate and graduate levels. Candidates must hold an earned Ph.D. in a field related to Engineering, Physics, Data Science, Computer Science, or Applied Mathematics or a related field by the beginning of employment.
Applicants should send a curriculum vitae, a research statement, a teaching statement, and copies of no more than three publications. They should also arrange for four individuals to submit letters of recommendation on their behalf. This information must be entered electronically at the following site: https://school-of-engineering-faculty-search.mit.edu/meche-idss/ by December 15, 2019 when review of applications will begin.
MIT is an equal-opportunity/affirmative action employer. Women and underrepresented minorities are especially encouraged to apply.